Criminal suspicion probability prediction method and system

Abstract

The invention provides a criminal suspicion probability prediction method, and the method comprises the steps: obtaining the related information of a to-be-detected person, determining the corresponding criminal record types of the to-be-detected person according to the related information, and also determining the related historical data screened through a specified index corresponding to each criminal record type; determining the detection time, and carrying out the numerical value assignment of the specified indexes of all criminal record types according to the related historical data; setting a characteristic vector which is formed by all the specified indexes, and obtaining the training sample library of each criminal record type according to the characteristic vector and the values of all specified indexes; enabling the classification attribute of the training sample library of each criminal record type to be divided into 1 and 0, carrying out the fitting of the classification probability of the classification attribute (1) in the training sample library corresponding to each criminal record type through employing a logistic regression model, and obtaining the crime probability of all criminal record types of the to-be-detected person. According to the invention, the method can accurately detect the crime type and probability of the to-be-detected person, and provides onsite guide for public security officers to carry out key inspection.

Description

technical field [0001] The invention relates to the technical field of public security crime prediction, in particular to a method and system for predicting the probability of criminal suspicion. Background technique [0002] At present, our country is in the critical period of the in-depth development of public security informatization and "information-led policing". In the entire "information-led policing" working mode, the analysis and judgment of criminal intelligence is the core, and crime prediction is the most important. The most important. Usually, the research on crime prediction mainly adopts empirical methods, and through investigation, data collection, analysis, and induction, important relevant factors are obtained, thereby revealing the law of crime occurrence. [0003] In the existing technology, domestic crime prediction mainly adopts mathematical analysis methods, including regression analysis, gray system theory analysis and optimal combination analysis, e...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, domestic crime prediction mainly adopts mathematical analysis methods, including regression analysis, gray system theory analysis and optimal combination analysis, etc., but most of these methods focus on the field of macroscopic prediction and fail to focus on the field of microscopic prediction. It is impossible to give the type of crime and its corresponding probability for the information and action trajectory of specific people, so it lacks a good auxiliary effect on the daily work of the police

Images